Sentence examples for input representation from inspiring English sources

Input feature representations of 3 hybrid RNNLM variations (a) hybrid input representation for H-F and H-R1, and (b) hybrid input representation for H-R2.

Input representation: More details about the TF representation are given in the experimental section.

A hybrid input representation and its variations are described in Section 3.2.

In each individual experiment of the ensemble, a different randomly generated noise is added to the input representation.

Additionally, a word and its context are explored to disambiguate the meaning of the word for rich input representation.

Uncertainties may originate from model structure, estimation of model parameters, data input, representation of natural variation and scaling exercises.

Decoding distributed representations through the input representations is also possible.

Teacher and student networks may have different input representations, sizes, and architectures.

In the following section, we briefly describe the different input representations under study.

Several hybrid input representations were also explored to optimize both recognition accuracy and computational time.

Besides the application of RNN, we also explore several hybrid input representations to optimize both recognition accuracy and computational time.